Alternatives and similar repositories for nlprot

Users that are interested in nlprot are comparing it to the libraries listed below

• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆43Updated 4 years ago
• mheinzinger / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆75Updated 4 years ago
• nstrodt / UDSMProt
  Protein sequence classification with self-supervised pretraining
  ☆82Updated 4 years ago
• HannesStark / protein-localization
  Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…
  ☆75Updated 2 years ago
• tadorfer / protlearn
  A Python package for extracting protein sequence features
  ☆62Updated 3 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆70Updated last year
• stamakro / GCN-for-Structure-and-Function
  Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"
  ☆41Updated 2 years ago
• kiharalab / GNN_DOVE
  Code for "Protein Docking Model Evaluation by Graph Neural Networks"
  ☆59Updated 2 years ago
• psipred / FFPredGAN
  Improving protein function prediction with synthetic feature samples created by generative adversarial networks
  ☆22Updated 5 years ago
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆61Updated 2 years ago
• amyxlu / CPCProt
  Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.
  ☆30Updated 4 months ago
• Rostlab / goPredSim
  ☆49Updated last year
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆20Updated 2 years ago
• zswitten / Antimicrobial-Peptides
  Collecting AMP MIC data from different sources, then running a GAN to output promising sequences
  ☆86Updated last year
• kiharalab / DOVE
  A Deep-learning based dOcking decoy eValuation mEthod
  ☆57Updated 2 years ago
• aqlaboratory / rgn2
  ☆108Updated 2 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆92Updated 2 years ago
• kansil / PROBE
  Trainable representation analysis study repository
  ☆44Updated 3 years ago
• yarongef / DistilProtBert
  DistilProtBert implementation, a distilled version of ProtBert model.
  ☆15Updated 3 years ago
• googleinterns / protein-embedding-retrieval
  ☆34Updated 5 years ago
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆34Updated 3 months ago
• yanzhanglab / Graph2GO
  Graph-based representation learning method for protein function prediction
  ☆24Updated 3 months ago
• ericmjl / protein-interaction-network
  Computes a molecular graph for protein structures.
  ☆58Updated this week
• IBM / fold2seq
  Code for Fold2Seq paper from ICML 2021
  ☆50Updated 3 years ago
• rxn4chemistry / biocatalysis-model
  RXN for biochemical reactions
  ☆72Updated 3 years ago
• biomed-AI / GraphSite
  GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures
  ☆61Updated last year
• churchlab / low-N-protein-engineering
  Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".
  ☆60Updated 4 years ago
• dohlee / antiberty-pytorch
  An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.
  ☆25Updated last year
• brennanaba / ImmuneBuilder
  Predict the structure of immune receptor proteins
  ☆56Updated last year
• ProteinDesignLab / protein_seq_des
  Code for our paper "Protein sequence design with a learned potential"
  ☆81Updated 2 years ago